As organizations expand the use of Generative AI for document automation, extracting data from unstructured and complex documents remains one of the biggest challenges. While custom LLM-based solutions can address these use cases, they often require significant effort to manage prompts, validation, governance, confidence scoring, and ongoing maintenance.
In this practical UiPath webinar, you'll learn how UiPath IXP helps teams apply leading LLMs to automate unstructured and complex documents without building and maintaining a custom extraction solution from scratch. Discover how instruction-based extraction, built-in governance, and human-in-the-loop validation help improve accuracy, measure quality, and confidently move AI-powered document automation from prototype to production.
What You'll Learn
- Which document types are best suited for Unstructured & Complex Documents
- How instruction-based extraction differs from traditional model training
- Best practices for designing extraction instructions for more consistent results
- How to evaluate extraction quality and make outputs automation-ready
- How to incorporate human review and connect extracted data into downstream automations
Speakers
